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- W2765604441 abstract "To balance the robustness and the convergence speed of optimization, a novel hybrid algorithm consisting of Taguchi method and the steepest descent method is proposed in this work. Taguchi method using orthogonal arrays could quickly find the optimum combination of the levels of various factors, even when the number of level and/or factor is quite large. This algorithm is applied to the inverse determination of elastic constants of three composite plates by combining numerical method and vibration testing. For these problems, the proposed algorithm could find better elastic constants in less computation cost. Therefore, the proposed algorithm has nice robustness and fast convergence speed as compared to some hybrid genetic algorithms." @default.
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- W2765604441 date "2017-10-01" @default.
- W2765604441 modified "2023-09-26" @default.
- W2765604441 title "A Gradient Taguchi Method for Engineering Optimization" @default.
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- W2765604441 doi "https://doi.org/10.1088/1757-899x/241/1/012022" @default.
- W2765604441 hasPublicationYear "2017" @default.
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